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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: ZENODO
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Claim

Supplementary processed data for Chandler et al. Single-cell transcriptomics identifies aberrant glomerular angiogenic signalling in the early stages of a murine model of WT1 kidney disease

Research datakeyboard_double_arrow_right Dataset 24 Jan 2023 English Publisher:Zenodo
Authors: Chandler, Jennifer C; Jafree, Daniyal J; Long, David A;

doi: 10.5281/zenodo.7565866 , 10.5281/zenodo.7565867

Supplementary processed data for Chandler et al. Single-cell transcriptomics identifies aberrant glomerular angiogenic signalling in the early stages of a murine model of WT1 kidney disease

Abstract

Summary datafiles for Chandler et al. Processed single-cell RNA sequencing data, derived from murine glomeruli (isolated using the dynabead technique) from n = 2 wild-type Wt1+/+ (Ctrl) and n = 2 mutant Wt1R394W/+ (Mut) littermates of WT1 glomerulopathy, followed by 10x Genomics Chromium v3 platform. Please refer to associated scripts for analysis of the data: https://github.com/daniyal-jafree1995/collaborations/blob/main/Chandleretal_2022_WT1glomerulopathyscRNAseq.R File descriptions as below: barcodes.tsv.gz - barcodes file required for input to Read10X function in Seurat features.tsv.gz - features file required for input to Read10X function in Seurat matrix.mtx.gz - matrix file required for input to Read10X function in Seurat WT1_scRNAseq.rds - RDS file containing processed and annotated Seurat object for downstream analysis

Keywords

single-cell transcriptomics, WT1 glomerulopathy, cell-cell communication, childhood glomerular disease

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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